A new significant area: emotion detection in e-learning using opinion mining techniques
E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the elearning experience. However, understanding the emotional reaction of a student in a complicated learning environment is a mind boggli...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/31271 |
| _version_ | 1848753331518832640 |
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| author | Binali, Haji Wu, Chen Potdar, Vidyasagar |
| author2 | Okyay Kaynak |
| author_facet | Okyay Kaynak Binali, Haji Wu, Chen Potdar, Vidyasagar |
| author_sort | Binali, Haji |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the elearning experience. However, understanding the emotional reaction of a student in a complicated learning environment is a mind boggling task. By detecting intense emotional experiences being exhibited by students, we intend to detect fluctuations in emotion as learning progresses. To achieve this, we present a conceptual emotion detection and analysis system for e-learning using opinion mining techniques. |
| first_indexed | 2025-11-14T08:22:49Z |
| format | Conference Paper |
| id | curtin-20.500.11937-31271 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:22:49Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-312712022-12-09T06:09:42Z A new significant area: emotion detection in e-learning using opinion mining techniques Binali, Haji Wu, Chen Potdar, Vidyasagar Okyay Kaynak Mukesh Mohania opinion mining E-learning emotion detection E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the elearning experience. However, understanding the emotional reaction of a student in a complicated learning environment is a mind boggling task. By detecting intense emotional experiences being exhibited by students, we intend to detect fluctuations in emotion as learning progresses. To achieve this, we present a conceptual emotion detection and analysis system for e-learning using opinion mining techniques. 2009 Conference Paper http://hdl.handle.net/20.500.11937/31271 10.1109/DEST.2009.5276726 IEEE fulltext |
| spellingShingle | opinion mining E-learning emotion detection Binali, Haji Wu, Chen Potdar, Vidyasagar A new significant area: emotion detection in e-learning using opinion mining techniques |
| title | A new significant area: emotion detection in e-learning using opinion mining techniques |
| title_full | A new significant area: emotion detection in e-learning using opinion mining techniques |
| title_fullStr | A new significant area: emotion detection in e-learning using opinion mining techniques |
| title_full_unstemmed | A new significant area: emotion detection in e-learning using opinion mining techniques |
| title_short | A new significant area: emotion detection in e-learning using opinion mining techniques |
| title_sort | new significant area: emotion detection in e-learning using opinion mining techniques |
| topic | opinion mining E-learning emotion detection |
| url | http://hdl.handle.net/20.500.11937/31271 |